Lead AI Engineer

🕒 Julho 2

⛷️ Utah – Remoto

⛷️ Utah – Remote

💵 $170.000 - $215.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

InsCipher

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🛡️ Seguros

☁️ SaaS

🔌 API

Insurance • SaaS • API

A InsCipher é uma empresa de software e serviços B2B que simplifica o cálculo, arquivamento e pagamento de impostos de linhas excedentes para participantes da indústria de seguros. Ela oferece uma plataforma SaaS certificada pelo SOC-2 (InsCipher Connect®), serviços de arquivamento totalmente gerenciados e APIs para desenvolvedores (Tax Calculator API, Tax Docs API) para ajudar MGAs, corretores, agências de varejo e seguradoras a automatizarem a conformidade e o reporte fiscal em estados e territórios dos EUA.

Descrição

• Define the AI engineering roadmap and architecture standards across the organization • Lead build vs. buy vs. integrate decision-making for AI systems and platforms – and be accountable for articulating how you arrived at those decisions • Evaluate emerging tools, frameworks, and models; provide clear, defensible recommendations to leadership • Serve as the ultimate technical escalation point for complex AI/ML system design challenges • Architect AI solutions for our enterprise platform • Design systems for scale, reliability, and cost-efficiency in production environments • Establish LLMOps practices • Ensure AI systems integrate cleanly with existing product and engineering infrastructure • Partner closely with Product and Engineering leadership to align AI capabilities with business outcomes • Receive operational support to help initiate and coordinate cross-functional engagement • Provide clear guidance on resource allocation • Translate complex technical concepts for non-technical audiences • Champion and introduce AI-assisted coding practices and developer tooling across the engineering organization • Define standards for responsible AI development including guardrails, evaluation frameworks, and security considerations • Drive continuous improvement in how the organization builds and ships AI-powered features

🎯 Requisitos

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience) • 8+ years of software engineering experience, with demonstrated mastery designing and shipping production systems where correctness, reliability, and auditability matter • 2+ years building production LLM/GenAI and agentic systems, plus fluency with AI-assisted coding tooling and the judgment to set org-wide standards, evals, and guardrails for AI-generated code • Sound judgment about where AI belongs and where it must not – comfortable with probabilistic agents for customer-facing and research tasks, while keeping policy binding, money movement, and compliance flows deterministic, auditable, and human-governed • Experience making and communicating build vs. buy vs. integrate decisions at an organizational level • Proficiency in Python and the modern GenAI application stack – agent/orchestration frameworks (e.g. LangChain, LlamaIndex, or equivalents), model-provider SDKs, vector databases, and evaluation tooling • Exceptional written and verbal communication skills – you can write a crisp architecture decision record and present it to a board-level audience.

🏖️ Benefícios

• Health, dental, and vision plans • Amazing work-life balance with 4 weeks of Paid Time Off • 10 Paid Company Holidays with 2 floating holidays • 401K Programs with employer match • Personal assistance programs for support in a healthy personal and work life